ByteDance's Seedance 2.0 is the only AI video model that combines text, image, video, and audio references in a single generation.
Up to 12 inputs per request — identity locking, motion transfer, and native audio in one workflow.
Combine up to 9 images + 3 videos + 3 audio files with @-Tag syntax for frame-level control over every generation.
Seedance 2.0 is ByteDance's second-generation AI video generation model, representing a paradigm shift from blind prompting to precision directing. Unlike any other video model on the market, Seedance 2.0 accepts up to 12 multimodal reference inputs in a single generation — 9 images, 3 video clips, and 3 audio files — combined with text prompts using an intuitive @-Tag syntax. This all-round reference system lets creators lock character identity, transfer motion from reference videos, synchronize audio rhythm, and enforce visual branding consistency, all within one generation request. The model also delivers improved motion stability, better physical coherence, and native audio-visual joint generation inherited from Seedance 1.5 Pro.
Seedance 2.0 is the only video model supporting video, audio, and image references in a single request. Upload up to 9 images for character faces, clothing textures, and environment styles; 3 video clips for camera movements or choreography; and 3 audio tracks for rhythm and timing synchronization. Reference each asset in your prompt using @-Tag syntax like [Image1], [Video1], [Audio1] for explicit, frame-level control over what each file contributes to the generation.
What sets Seedance 2.0 apart from competitors is its ability to handle identity locking and motion transfer simultaneously. While other models struggle to keep a character's face consistent when they start dancing or performing complex actions, Seedance 2.0 uses a Reference Cluster to bind specific visual traits to the generated output. This makes it essential for visual identity in marketing campaigns, where consistency across shots is non-negotiable.
Seedance 2.0 can generate multi-participant competitive sports scenes — a challenge that previous models struggled to accomplish. Complex motions and interactions are rendered stably and true to physical laws, from articulated humanoid movement to object interactions. The model maintains temporal consistency across frames, so objects and characters hold their appearance reliably throughout the clip.
Seedance 2.0 embeds C2PA (Coalition for Content Provenance and Authenticity) metadata into every generated video, recording that it was AI-generated, which model created it, and when. Unlike visible watermarks, C2PA metadata is cryptographically signed and embedded at the file level, making it much harder to strip. ByteDance is one of the earliest major players to ship this standard at the consumer level, supporting transparency requirements and regulatory compliance.
Seedance 2.0 bridges the gap between AI randomness and professional precision. Here is what makes it the most controllable video generation model available.
The capabilities that make Seedance 2.0 the most controllable and versatile AI video generation model on the market.
Combine 9 images, 3 video clips, and 3 audio files with text in a single generation. No other video model offers this level of multimodal input in one request.
Reference each uploaded asset in your prompt using [Image1], [Video1], [Audio1] syntax. Explicitly control what each file contributes — identity, motion, style, or rhythm.
Bind character faces, clothing, and visual traits to reference images so they stay consistent across frames and shots — even during complex motion sequences.
Upload a reference video to transfer specific camera movements, choreography, or physical actions to the generated output. Show the model the motion instead of describing it.
Inherited from Seedance 1.5 Pro: video and audio generated simultaneously with millisecond-level synchronization. Dialogue, environmental sounds, and music matched to visuals.
Generate multi-participant competitive sports scenes with stable rendering true to physical laws — a capability previous models struggled to achieve.
Cryptographically signed metadata embedded in every generated video, recording AI origin, model identity, and creation timestamp. Supports regulatory compliance and platform transparency.
Model-level restrictions block generation of recognizable real people's likenesses, including public figures and celebrities. Content filtering operates at generation time, not after the fact.
Everything you need to know about ByteDance's multimodal AI video generation model.
Stop guessing what the AI will generate. Upload your references, tag them in your prompt, and get video that matches your vision — character identity, motion, audio, and style all under your control.